code: def test_datasets(request, deprecated_boston_dataset):
      test_datasets_dict = {
          "digits": datasets.load_digits(),
          "deprecated_boston_dataset": deprecated_boston_dataset,
          "diabetes": datasets.load_diabetes(),
          "cancer": datasets.load_breast_cancer(),
      }
  
      return test_datasets_dict[request.param]
  
imports: from cuml.testing.utils import create_synthetic_dataset
  from sklearn.feature_extraction.text import CountVectorizer
  from sklearn import datasets
  from sklearn.datasets import make_regression
  from sklearn.datasets import make_classification
  from sklearn.datasets import fetch_california_housing
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.utils import Bunch
  from datetime import timedelta
  from math import ceil
  import hypothesis
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  import os
  import subprocess
  import pandas
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 7 for calling a global function with example usage: test_datasets(request, deprecated_boston_dataset) and returns: test_datasets_dict